Advanced Analytics to
Accelerate Decarbonization

Fast. Flexible. Actionable.

Get reliable carbon footprint estimates for your entire product portfolio in seconds, not months — using data you already have.

Built for Speed, Flexibility, and Impact

Our tools make data collection simple. Analyze your entire portfolio and find the most feasible, most economic decarbonization projects.

Use Existing Data

Start calculating emissions using available product descriptions.

1,000x Less Expensive

Leverage automation to reduce time-consuming and costly data-collection steps.

Up to 10,000x Faster

Generate insights in seconds per product vs. weeks or months.

Engage Suppliers

Collect targeted data from suppliers to sharpen your footprint estimates.

Rapid Carbon Footprint Analysis

Upload product descriptions, get detailed carbon footprint estimates in seconds — not months.

  • Portfolio-level emissions view
  • Lifecycle phase breakdown
  • Top emission drivers ranked
  • AI-generated key insights

Streamline Supplier Engagement

Create campaigns, track supplier progress, and manage multilingual data collection at scale.

  • Campaign status at a glance
  • Automated reminder workflows
  • Real-time response tracking
  • Multi-format data export

PCF RESULTS

Switchgear Assembly Portfolio

Analysis ran on 2026.02.03 at 13:54

CHART VIEW
Breakdown Emissions by category
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148,489 kg CO₂e Total Emissions
50 Products
18 Suppliers
N/A Part Volume
All suppliers

Category Breakdown

148kkg CO₂e
Materials 62%
Manufacturing 22%
Packaging 6%
Logistics 10%

Emission Drivers

1
Printed Circuit Board
98,029 kg CO₂e in 8 products
2
Electronic Components
19,196 kg CO₂e in 14 products
3
Steel
16,451 kg CO₂e in 28 products
4
Copper
2,160 kg CO₂e in 19 products
5
Aluminum
466.0 kg CO₂e in 2 products
Key Insights 3

STATUS

Review campaign status

Search campaigns...
Campaign NameTask TypeStatusCreated ProgressAction
Switchgear Assembly Audit PCF - AnalysisAnalysisCOMPLETE2025.10.17 12:04---
Tier 1 Supplier Survey PCF - Data CollectorSurveyCOMPLETE2025.10.22 09:41
87%
Nordic Electronics PCF PCF - AnalysisAnalysisCOMPLETE2025.11.03 16:20---
Meridian Components PCF - AnalysisAnalysisIN PROGRESS2026.01.22 08:15
68%
APAC Logistics Baseline Scope 1-3 - SurveySurveyIN PROGRESS2026.02.05 11:47
31%
Q1 Sensor Module PCF PCF - Data CollectorSurveyDRAFT2026.03.04 15:22---

How It Works

1

Upload Available Data

Upload off-the-shelf product information — a short description is enough to get started.

2

Generate Product-Level Insights

Get a clear breakdown of emissions and their drivers, organized the way your business thinks: by product, supplier, or source.

3

Translate to Decarbonization Plans

Layer in your company’s priorities and existing initiatives to build a practical, prioritized decarbonization roadmap.

Hundreds of data points.
We surface what matters.

Scattered spreadsheets, incomplete specs, vague emails — sound familiar? Our AI cuts through the noise to identify the highest-impact questions for your product carbon footprint.

Supplier_Data_2024.xlsx
Part weight 2.4 kg
Material ???
Energy source
Coating #REF!
Alloy comp.
TDS_FloorBox_v3_FINAL(2).pdf
Dimensions 120×80×45mm
Material grade EN-GJL-200 (?)
Surface finish [see appendix]
PCF Data Collection
15% complete
Primary material
Manufacturing
Transport mode
Packaging
Quick notes.txt

Ask supplier about energy mix Need packaging weight!! Which LCA database??

? ! ?
Part weight (kg)? High Impact Primary material? High Impact Primary material (%)? Geographic source? High Impact Renewable energy (%)? High Impact Packaging material? Part description? Main energy source? High Impact Manuf. elect. country? Part coating type? Number part materials? Packaging weight (kg)? Secondary material? Secondary material (%)? Part volume (l)? Packaging units? Part density (kg/l)? Alloy composition? Energy used per part? Manuf. yield (%)? Surface treatment method? Curing temperature (°C)? Batch size? Tool steel grade? Assembly method? Transport distance (km)? Mold cycle time (s)? Coolant type? Furnace temperature (°C)? Supplier location? Annual production volume? Scrap recycling rate (%)? Water consumption (l/unit)? Compressed air usage? Cleaning solvent? Die casting pressure (bar)? Annealing atmosphere? Plating thickness (μm)? Paint VOC content? Waste treatment method? Extrusion ratio? Quality reject rate (%)? Drying method? Tempering temperature? Hardening process? Quench medium? Shot blasting media? Powder coat type? Solvent recovery rate (%)? Raw material origin? Galvanizing method? Welding filler material? Lubricant type? Injection pressure (bar)? Sintering temperature (°C)? Polishing grit?

Purpose-Built for
Supplier Engagement

A guided, mobile-friendly data collection experience covering part metadata, materials, manufacturing, logistics, and packaging — five structured categories that capture everything needed for a product carbon footprint, with no sustainability expertise required.

Multi-Modal
Data Capture

Suppliers upload photos and video directly from their phones. Uploaded images are automatically analyzed for materials, finishes, and measurements — reducing manual review and improving data quality at the source.

Smart
Auto-Reminders

Set it and forget it: configurable reminder cadences with built-in frequency caps. Both you and your suppliers always know where things stand.

Multilingual
by Design

Every question, label, and instruction is professionally translated into 14 languages. Suppliers interact entirely in their native language — no manual translation, no spreadsheet coordination.

English
9:41
TCP
TCP Reminder 2 parts still pending — please complete by 2026-05-29
now
TCP

Data Request

Part

Part ID

880CS1-1

Part Name

Cast Iron Floor Box

Materials

Please enter this part's primary material (either pure metal or alloy).
What percent of the total [weight] is from [the primary material]?

Smarter With Every Iteration

The platform automatically identifies what’s missing, asks the highest-impact follow-up questions first, and re-analyzes with each new data point — getting more accurate every round.

Automatic Gap Detection

AI cross-references multiple data sources to find missing or inconsistent information

Impact-Prioritized Questions

Follow-ups ranked by magnitude so teams focus on what moves the needle

Converging Accuracy

Each round gets closer to the precision of a full lifecycle assessment, without the time or cost of an LCA.

Under the Hood

Product data flows through two independent analysis engines — each cross-checked against the other to surface gaps and flag inconsistencies.

Data Sources

Supplier Materials Bill of materials data
Photo Evidence Factory floor photos
Survey Answers Questionnaire responses
Industry Norms Sector benchmarks
PCF Analysis
LLM Analysis
Gaps Identified
Data Gap Questions
Quality Control Questions

Quality Checks

Weight Consistency Cross-reference declared vs. estimated
Photo Validation Verify manufacturing evidence
EF Matching Validate emission factor selection
Process Verification Confirm manufacturing steps

Every Iteration Gets Closer

Each analysis round tightens the estimate. Go from initial approximations to near-audit-grade precision — in days, not months.

Total PCF
Loop 1 9.0 kg CO₂e
Loop 2 8.5 kg CO₂e
Confidence
Loop 1 62%
Loop 2 89%
Missing EFs
Loop 1 3
Loop 2 0
Unverified
Loop 1 3
Loop 2 0

PCF Convergence Over Analysis Loops

Actual
Projected
95% Confidence Band

What Industry Leaders Are Saying

This is the first solution that allows us to work with the data we have and get the insights we need to start decarbonizing.

VP Sustainability Fortune Global 500

I've worked with LCA consultants on 6-month projects. The Carbon Platform's speed addresses a very real pain point.

ESG Lead Invest. Co. ($150B AUM)

This is a great solution to help us get going – we have a massive knowledge gap.

SVP Procurement Fortune 500 Company

I really value the ability to translate the output into concrete financial plans – that is essential for capital planning.

CFO Fortune Global 50

See Your Portfolio Impact

Identify carbon hotspots across your entire product portfolio. Understand which product categories and lifecycle phases drive the most emissions — and where to focus decarbonization efforts.

Raw Materials
Manufacturing
Packaging
Logistics

Simple, Transparent
Pricing

  • No hidden setup fees
  • Complete data sovereignty
  • Transparent, volume-based discounts
  • GDPR-compliant by design
  • No long-term lock-in contracts

Basic Plan

Initial estimates for Product Carbon Footprints.

$0 USD/org/year

Includes one license — 10 products/month

Try For Free

Calculation Engine

  • Basic PCF algorithm
  • Enchanced multi-model analytics
  • Model fine-tuning, recalculation & Next Best Query

Data & Campaigns

  • Manual input (single part)
  • Unlimited products
  • Batch processing, bulk templates & data collection
  • All campaign types included
  • Multi-lingual support

Analytics, Export & Platform

  • Basic results view
  • Advanced analytics & export (CSV, JSON, PNG, PDF, PPTX)
  • Client API with documentation

Accelerate Plan

Detailed portfolio-wide analyses.

Pricing on request Unlimited [Billed per product analyzed]

Includes 5 licenses per org

Request a Demo

Calculation Engine

  • Advanced PCF algorithm
  • Enchanced multi-model analytics
  • Model fine-tuning, recalculation & Next Best Query

Data & Campaigns

  • Bulk upload (multiple parts)
  • Unlimited products
  • Batch processing, bulk templates & data collection
  • All campaign types included
  • Multi-lingual support

Analytics, Export & Platform

  • Detailed results view
  • Advanced analytics & export (CSV, JSON, PNG, PDF, PPTX)
  • Client API with documentation

Frequently Asked Questions

Product Carbon Footprints (PCFs) provide insights into how products are made, what they’re made from, and where they’re manufactured. PCFs also reveal economic risks, like supplier exposure to volatile raw material prices. Regulatory requirements for PCF disclosure are accelerating. A portfolio-level view on PCFs allows forward-thinking companies to tackle holistically strategy, capital planning, risk management and compliance.

You can get a solid PCF estimate from as little as a 1–2 sentence product description.

Depending on product complexity, our estimates typically fall within 30% of a full LCA result — an assessment that normally takes 3–5 months. Across a diverse portfolio, we can reliably identify the largest and smallest GHG contributors. We validate our results by comparing them to published footprint data (which we don’t use for training).

First, Product Carbon Footprints help prioritize efforts (e.g., due to per-unit emissions, adjusted for purchase volume). Second, our interactive tool allows companies to quickly survey current and potential suppliers to understand ongoing and planned decarbonization actions. Responses can form the basis for competitive negotiations.

We give companies visibility into cost and emissions drivers that are normally hard to measure — like material choices and manufacturing methods. Better visibility often reveals emission reduction opportunities that also save money — for example, swapping in a lower-carbon material at equal or lower cost.

Our methodology aligns with the Pathfinder Framework (v3.0) by WBCSD, the leading standard for product carbon footprints.